EEG ocular artifact elimination by extraction of ICA component

Authors(1) :-Anshul Khatter

Electroencephalography (EEG) is a method to define the ailments and to classify the activity on specific location by examining the brain signals. An EEG recording generally contains numerous artifacts. Elimination of Artifact is a significant concern while dealing with recordings of EEG. This paper offers an innovative method grounded on Independent Component Analysis (ICA) in EEGLAB toolbox of MATLAB to reject eye movement artifacts for elimination of artifacts from the EEG signals. The signals obtained from eye blinks and movements are of more magnitude than generated brain signals and this is the main cause of artifacts in EEG data. The result shows that the offered method is appropriate for removal of eye movement’s artifacts and ideology of this technique can be extended to any other type of artifacts as well. The method is steady, easy to apply and offers a little computational cost.

Authors and Affiliations

Anshul Khatter
Guest Faculty, Guru Jambheshwar University, Hisar, Haryana, India

Electroencephalography (EEG), artifact, Independent Component Analysis (ICA), EEGLAB, MATLAB

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Publication Details

Published in : Volume 3 | Issue 6 | September-October 2017
Date of Publication : 2017-10-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 893-895
Manuscript Number : IJSRSET1736229
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Anshul Khatter, " EEG ocular artifact elimination by extraction of ICA component, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 6, pp.893-895, September-October-2017.
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